Vili Podgorelec

3.4k total citations · 1 hit paper
115 papers, 2.2k citations indexed

About

Vili Podgorelec is a scholar working on Artificial Intelligence, Information Systems and Software. According to data from OpenAlex, Vili Podgorelec has authored 115 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Artificial Intelligence, 45 papers in Information Systems and 14 papers in Software. Recurrent topics in Vili Podgorelec's work include Evolutionary Algorithms and Applications (23 papers), Data Mining Algorithms and Applications (19 papers) and Software Engineering Research (16 papers). Vili Podgorelec is often cited by papers focused on Evolutionary Algorithms and Applications (23 papers), Data Mining Algorithms and Applications (19 papers) and Software Engineering Research (16 papers). Vili Podgorelec collaborates with scholars based in Slovenia, Spain and United States. Vili Podgorelec's co-authors include Peter Kokol, Grega Vrbančič, Ivan Rozman, Iztok Fister, Sašo Karakatič, Bruno Stiglic, Lucija Brezočnik, Marjan Heričko, Milan Zorman and Mirka Saarela and has published in prestigious journals such as SHILAP Revista de lepidopterología, Water Research and Expert Systems with Applications.

In The Last Decade

Vili Podgorelec

109 papers receiving 2.1k citations

Hit Papers

Decision Trees: An Overview and Their Use in Medicine 2002 2026 2010 2018 2002 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Decision Trees: An Overview and Their Use in Medicine
    2002 506 citations Vili Podgorelec, Peter Kokol et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Vili Podgorelec Slovenia 20 938 443 197 193 158 115 2.2k
João M. C. Sousa Portugal 32 1.2k 1.3× 197 0.4× 322 1.6× 463 2.4× 189 1.2× 222 4.0k
Mohammed Berrada Morocco 12 2.0k 2.2× 268 0.6× 301 1.5× 253 1.3× 97 0.6× 48 3.6k
Yanmin Sun Canada 7 1.7k 1.8× 300 0.7× 299 1.5× 72 0.4× 177 1.1× 10 2.5k
Serdar Korukoğlu Türkiye 16 1.1k 1.1× 318 0.7× 276 1.4× 66 0.3× 77 0.5× 43 2.0k
Vicente García Mexico 23 1.4k 1.5× 278 0.6× 191 1.0× 95 0.5× 110 0.7× 62 2.2k
Shruti Patil India 27 653 0.7× 156 0.4× 227 1.2× 172 0.9× 85 0.5× 115 2.2k
Hamza Turabieh Saudi Arabia 31 1.3k 1.4× 398 0.9× 344 1.7× 235 1.2× 85 0.5× 85 2.8k
Bighnaraj Naik India 29 1.2k 1.3× 358 0.8× 313 1.6× 79 0.4× 120 0.8× 94 2.7k
Dayou Liu China 27 1.3k 1.4× 382 0.9× 435 2.2× 110 0.6× 286 1.8× 173 2.9k
Bernard Kamsu-Foguem France 26 601 0.6× 266 0.6× 151 0.8× 260 1.3× 88 0.6× 89 2.3k

Countries citing papers authored by Vili Podgorelec

Since Specialization
Citations

This map shows the geographic impact of Vili Podgorelec's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Vili Podgorelec with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vili Podgorelec more than expected).

Fields of papers citing papers by Vili Podgorelec

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vili Podgorelec. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Vili Podgorelec. The network helps show where Vili Podgorelec may publish in the future.

Co-authorship network of co-authors of Vili Podgorelec

This figure shows the co-authorship network connecting the top 25 collaborators of Vili Podgorelec. A scholar is included among the top collaborators of Vili Podgorelec based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Vili Podgorelec. Vili Podgorelec is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Fister, Iztok, et al.. (2025). Toward Explainable Time-Series Numerical Association Rule Mining: A Case Study in Smart-Agriculture. Mathematics. 13(13). 2122–2122. 2 indexed citations
3.
Brezočnik, Lucija, et al.. (2024). Using Machine Learning and Natural Language Processing for Unveiling Similarities between Microbial Data. Mathematics. 12(17). 2717–2717. 2 indexed citations
4.
Saarela, Mirka & Vili Podgorelec. (2024). Recent Applications of Explainable AI (XAI): A Systematic Literature Review. Applied Sciences. 14(19). 8884–8884. 28 indexed citations
5.
Podgorelec, Vili, et al.. (2023). Assessing Perceived Trust and Satisfaction with Multiple Explanation Techniques in XAI-Enhanced Learning Analytics. Electronics. 12(12). 2594–2594. 9 indexed citations
6.
Dugonik, Aleksandra, et al.. (2020). Associated positive patch test reactions to standard contact allergens: 10‐year data from the Slovenian E‐Surveillance System. Contact Dermatitis. 85(1). 17–25. 3 indexed citations
7.
8.
Vrbančič, Grega & Vili Podgorelec. (2018). Automatic Classification of Motor Impairment Neural Disorders from EEG Signals Using Deep Convolutional Neural Networks. Elektronika ir Elektrotechnika. 24(4). 3–7. 32 indexed citations
9.
Podgorelec, Vili, et al.. (2018). Document Enrichment using DBPedia Ontology for Short Text Classification. 1–9. 12 indexed citations
10.
Brezočnik, Lucija, Iztok Fister, & Vili Podgorelec. (2018). Swarm Intelligence Algorithms for Feature Selection: A Review. Applied Sciences. 8(9). 1521–1521. 275 indexed citations
11.
Podgorelec, Vili, et al.. (2017). Text classification method based on self-training and LDA topic models. Expert Systems with Applications. 80. 83–93. 155 indexed citations
12.
Podgorelec, Vili. (2012). Analyzing EEG Signals with Machine Learning for Diagnosing Alzheimer’s Disease. Elektronika ir Elektrotechnika. 18(8). 21 indexed citations
13.
Podgorelec, Vili, et al.. (2011). Taking Advantage of Education Data: Advanced Data Analysis and Reporting in Virtual Learning Environments. Elektronika ir Elektrotechnika. 114(8). 111–116. 32 indexed citations
14.
Podgorelec, Vili, et al.. (2011). Using semantic web technologies and non-procedural programming language for selecting team members. 181–186. 1 indexed citations
15.
Podgorelec, Vili, et al.. (2010). Automating ontology based information integration using service orientation. WSEAS Transactions on Computers archive. 9(6). 547–556. 9 indexed citations
16.
Podgorelec, Vili, et al.. (2009). Adoption of Semantic Web Technologies for Developing Medical Software Systems and Services. European Journal of Combinatorics. 263–274. 2 indexed citations
17.
Podgorelec, Vili. (2009). Improved mining of software complexity data on evolutionary filtered training sets. WSEAS Transactions on Information Science and Applications archive. 6(11). 1751–1760. 5 indexed citations
18.
Podgorelec, Vili, Peter Kokol, & Ivan Rozman. (2002). AREX - classification rules extracting algorithm based on automatic programming. European Conference on Artificial Intelligence. 330–334. 1 indexed citations
19.
Kokol, Peter, et al.. (2001). Using Software Metrics and Evolutionary Decision Trees for Software Quality Control. 1 indexed citations
20.
Podgorelec, Vili. (1999). proGenesys-Program Generation Tool Based on Genetic Systems.. International Conference on Artificial Intelligence. 299–302. 3 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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